Optimal placement and sizing of multiple FACTS devices installation
This paper presents optimal placement and sizing of multiple FACTS devices based on computational intelligence techniques. In this study, particle swarm optimization (PSO) and Evolutionary Programming (EP) approach is proposed to minimize the transmission loss in the power system with flexible AC tr...
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2012
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my.um.eprints.78322019-10-09T08:56:21Z http://eprints.um.edu.my/7832/ Optimal placement and sizing of multiple FACTS devices installation Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents optimal placement and sizing of multiple FACTS devices based on computational intelligence techniques. In this study, particle swarm optimization (PSO) and Evolutionary Programming (EP) approach is proposed to minimize the transmission loss in the power system with flexible AC transmission systems (FACTS) devices. Two types of FACTS are used: static var compensator (SVC) and thyristors controlled series compensator (TCSC) are two FACTS devices chosen for the optimal installation for compensation purposes due to reported promising performances of the devices. Experiment results on the IEEE 30 bus system with FACTS devices show that the proposed PSO approach can obtain better solutions than EP technique. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/7832/1/Optimal_placement_and_sizing_of_multiple_FACTS_devices_installation.pdf Jumaat, S.A. and Musirin, I. and Othman, M.M. and Mokhlis, Hazlie (2012) Optimal placement and sizing of multiple FACTS devices installation. In: 2012 IEEE International Conference on Power and Energy, PECon 2012, 2012, Kota Kinabalu. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6450195 |
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TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie Optimal placement and sizing of multiple FACTS devices installation |
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This paper presents optimal placement and sizing of multiple FACTS devices based on computational intelligence techniques. In this study, particle swarm optimization (PSO) and Evolutionary Programming (EP) approach is proposed to minimize the transmission loss in the power system with flexible AC transmission systems (FACTS) devices. Two types of FACTS are used: static var compensator (SVC) and thyristors controlled series compensator (TCSC) are two FACTS devices chosen for the optimal installation for compensation purposes due to reported promising performances of the devices. Experiment results on the IEEE 30 bus system with FACTS devices show that the proposed PSO approach can obtain better solutions than EP technique. |
format |
Conference or Workshop Item |
author |
Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie |
author_facet |
Jumaat, S.A. Musirin, I. Othman, M.M. Mokhlis, Hazlie |
author_sort |
Jumaat, S.A. |
title |
Optimal placement and sizing of multiple FACTS devices installation |
title_short |
Optimal placement and sizing of multiple FACTS devices installation |
title_full |
Optimal placement and sizing of multiple FACTS devices installation |
title_fullStr |
Optimal placement and sizing of multiple FACTS devices installation |
title_full_unstemmed |
Optimal placement and sizing of multiple FACTS devices installation |
title_sort |
optimal placement and sizing of multiple facts devices installation |
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2012 |
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http://eprints.um.edu.my/7832/1/Optimal_placement_and_sizing_of_multiple_FACTS_devices_installation.pdf http://eprints.um.edu.my/7832/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6450195 |
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1648736081754980352 |
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13.18916 |